{"id":"W4389524414","doi":"10.18653/v1/2023.emnlp-demo.12","title":"Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face","year":2023,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Face (sociological concept); Computer science; Zhàng; Linguistics; History; China; Philosophy; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001322557,0.002146065,0.001351901,0.001230196,0.0008019066,0.001895188,0.003090456,0.001116946,0.04266917],"category_scores_gemma":[0.004831427,0.001338867,0.001028887,0.001204764,0.0005232552,0.005638023,0.003034802,0.001858325,0.03140699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006184964,"about_ca_system_score_gemma":0.001035952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004036053,"about_ca_topic_score_gemma":0.005287899,"domain_scores_codex":[0.99927,0.0001308789,0.00004668063,0.0001672435,0.0002652908,0.0001198725],"domain_scores_gemma":[0.998688,0.0006541549,0.00005137315,0.0002714497,0.0001307103,0.0002041549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004888366,0.0005595265,0.002561491,0.001056185,0.0002782768,0.0004621479,0.0006078815,0.002724996,0.01686344,0.01023977,0.7656593,0.1940985],"study_design_scores_gemma":[0.002114537,0.0009248866,0.004252458,0.000211591,0.0002868485,0.0008737211,0.0004821843,0.2704972,0.07288132,0.02191357,0.6251065,0.0004552204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01090525,0.001456424,0.09256046,0.0005476832,0.0006500752,0.000397466,0.01153212,0.867734,0.01421657],"genre_scores_gemma":[0.312824,0.002931012,0.2934947,0.002574586,0.0006709141,0.002365882,0.1197796,0.1607775,0.1045819],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.04266917,"threshold_uncertainty_score":0.1427426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03053542169169943,"score_gpt":0.2614568801368183,"score_spread":0.2309214584451189,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}